Ornith-1.0: the open-source coding LLM that matches Claude Opus 4.7 — and runs on your laptop. This open-weights agentic-coding model hits 77.5 on Terminal-Bench and 82.4 on SWE-bench Verified, beating Claude Opus on both, then ships a 9B size you can `ollama run` locally. MIT licensed, four sizes, and it taught itself the harness.

My mum works in corporate America and is stretched thin. Spreadsheet analysis she has to run manually, a constant pile of emails to draft, life admin on top. She also maps out her processes with mind maps and flowcharts already - the raw material for a second brain is there. The use cases are obvious. She just needs the cognitive load cut. The plan is to wrap her an ICM system she can actually use - one interface on her Claude Enterprise subscription, so she doesn't have to think about what's underneath. I'm 18, built this for myself, and I'm starting to look at consulting for local businesses. This is the first test of translating what I know into something that works for someone else. The scoping process I'll sit with Claude and design the approach. What I'm after is the specific stuff: what would you actually tell someone [me] doing this for the first time with a non-technical user who's already process-minded?

Just dropped a 23 minute deep dive on the folder architecture I keep showing snippets of. This time I actually walk through the whole thing from scratch and explain every layer. Covers: what tokens are and why they matter, what markdown is, the three layer routing system I use, how CLAUDE.md works, how skills plug into the system, and how naming conventions replace databases. I also built a template you can download and start using today. If you're on Premium or VIP the template files are already in The Vault. If you're on free, the video covers everything conceptually so you can build your own version no need to upgrade! Just want to add more value to my early supporters before the full paid content is done being recorded. Drop your questions in the comments. I want to know where I moved too fast or what needs a deeper dive so I can make the next one better.